Informatyka
Artur Bieliński
Książka Inteligentne algorytmy obala całą stworzoną w XVIII i XIX wieku teorię gry w szachy. Przeciętny szachista w XVIII grając codziennie 5 partii przez 30 lat rozgrywa 30 * 365 *5 = 54750 partii (55 tysięcy partii), a program komputerowy do gry w szachy Turniej 2na2 już obliczając pierwszy ruch rozgrywa 197281 początków partii, a podczas całej liczącej na przykład 100 ruchów partii w ciągu godziny rozgrywa 20 do 30 milionów wariantów rozgrywanej partii. Doświadczenia kombinacji szachowych gromadzone podczas udanej gry z programem, który wykrywa nawet pojedyńczą ścieżkę do sukcesu w zakresie przewidywania czterech ruchów, podnoszą grę w szachy na nowy poziom. Nie jest to sformułowane poetycko ale faktycznie gra z programem Turniej 2na2 podnosi poziom gry w szachy, a program do gry w warcaby Turniej Warcabowy potrafi rozgrywać zaskakująco inteligentne końcówki partii, które uznalibyśmy już za zremisowane. Artur Bieliński Jestem autorem 2 programów do gry w szachy i 6 programów do gry w warcaby: Kalkulator Szachowy 2na2 (V.10 2010, V.1.1 2010/2011) Turniej poziom 2na2 (V.1.1 2011) Turniej Warcabowy - warcaby 64 polowe (V.1.0 2013) Quiz Warcabowy - warcaby 64 polowe (V.1.0 2013) Turniej Wariantowy Warcabowy - warcaby 64 polowe (V.1.0 2013) Turniej Warcabowy - warcaby 100 polowe (V.1.0 2013) Quiz Warcabowy - warcaby 100 polowe (V.1.0 2013) Turniej Wariantowy Warcabowy - warcaby 100 polowe (V.1.0 2013) Aktualnie programy prezentowane są na stronie https://www.gryiszachy.hitowy.pl Pisaniem programów zajmuję się od 8 roku życia: asembler Z80, ZX81 (pisanie gier i udział w konkursie Klubu Abakus ), ATARI 800XL, asembler 6502 (program do komponowania muzyki prezentowany w 1987r w Krajowej Agencji Wydawniczej), XT, AT286, AT386 (program do projektowania krzyżówek 1993r, po jednym ogłoszeniu otrzymałem zamówienia z całego świata), Pentium; języki asembler 8086, 80286, 80C51, 68HC11, Pascal, C++, Delphi Pascal, C#, oraz inne (JavaScript, HTML, PHP, SQL, CSS) Program Turniej do gry w szachy realizuje algorytm funkcji decyzyjnych i powstał w wyniku rozegrania ponad 200 partii podczas pisania programu i gra tak jak człowiek, natomiast program Turniej do gry w warcaby realizuje inteligentny algorytm maksymalizacji zysku dla 4, 6 lub 8 warstw. Pisanie programów do gry w szachy rozpoczynałem od opracowania kalkulatora szachowego dla 4 ruchów, który wykrywa stan partii: wygraną, remis lub porażkę, oraz potrafi zasymulować i ocenić 4 ruchy w przód, przy czym inteligencja algorytmu polega na umiejętności klasyfikacji ruchów na kategorie: ruchy prowadzące do sukcesu, ruchy przybliżające do sukcesu, ruchy prowadzące do remisu, ruchy przybliżające do remisu, ruchy bez porażki, ruchy ze ścieżką ucieczki przed porażką, ruchy z możliwą porażką i ruchy z pewną porażką. Następnie powstał program Turniej do gry w szachy który wykonuje sam ruchy i może grać: aby wygrać, aby wygrać lub zremisować, lub aby koniecznie zremisować, ponadto program posiada 3 sposoby remisowania w końcówce w tym najatrakcyjniejszy: decyduj się na remis dopiero gdy tracisz możliwość zremisowania.
Allen Chan, Kevin Trinh, Guilhem Molines, Suzette...
COVID-19 has made many businesses change how they work, change how they engage their customers, and even change their products. Several of these businesses have also recognized the need to make these changes within days as opposed to months or weeks. This has resulted in an unprecedented pace of digital transformation; and success, in many cases, depends on how quickly an organization can react to real-time decisions.This book begins by introducing you to IBM Cloud Pak for Business Automation, providing a hands-on approach to project implementation. As you progress through the chapters, you’ll learn to take on business problems and identify the relevant technology and starting point. Next, you’ll find out how to engage both the business and IT community to better understand business problems, as well as explore practical ways to start implementing your first automation project. In addition, the book will show you how to create task automation, interactive chatbots, workflow automation, and document processing. Finally, you’ll discover deployment best practices that’ll help you support highly available and resilient solutions.By the end of this book, you’ll have a firm grasp on the types of business problems that can be solved with IBM Cloud Pak for Business Automation.
Ajit Pratap Kundan
This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today.This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences.You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products.
Ajit Pratap Kundan
This book presents an introductory perspective on how machine learning plays an important role in a VMware environment. It offers a basic understanding of how to leverage machine learning primitives, along with a deeper look into integration with the VMware tools used for automation today.This book begins by highlighting how VMware addresses business issues related to its workforce, customers, and partners with emerging technologies such as machine learning to create new, intelligence-driven, end user experiences.You will learn how to apply machine learning techniques incorporated in VMware solutions for data center operations. You will go through management toolsets with a focus on machine learning techniques. At the end of the book, you will learn how the new vSphere Scale-Out edition can be used to ensure that HPC, big data performance, and other requirements can be met (either through development or by fine-tuning guidelines) with mainstream products.
Ike Kavas, Michael Muller
Ephesoft is an open source document capture solution. Everyone talks about the paperless work place but the reality is that paper still exists and will continue to be part of your business. Capturing the document's content using Ephesoft can minimize the time your company spends reviewing and processing physical documents.Intelligent Document Capture with Ephesoft teaches you about document capture in general and implementation of document capture using Ephesoft. Start by learning about document capture, the history of document capture, and intelligent document capture. Progress to a tour of Ephesoft's key features, including operator and administrator interfaces and then learn to configure Ephesoft to process your business's specific document types and extract content from those documents. Finally, learn advanced customization techniques that make Ephesoft accommodate your unique business needs.Intelligent Document Capture with Ephesoft will teach you to optimize the processing of your physical document, saving your company time and money.
Sonali Sahu
With the volume of data growing exponentially in this digital era, it has become paramount for professionals to process this data in an accelerated and cost-effective manner to get value out of it. Data that organizations receive is usually in raw document format, and being able to process these documents is critical to meeting growing business needs.This book is a comprehensive guide to helping you get to grips with AI/ML fundamentals and their application in document processing use cases. You’ll begin by understanding the challenges faced in legacy document processing and discover how you can build end-to-end document processing pipelines with AWS AI services. As you advance, you'll get hands-on experience with popular Python libraries to process and extract insights from documents. This book starts with the basics, taking you through real industry use cases for document processing to deliver value-based care in the healthcare industry and accelerate loan application processing in the financial industry. Throughout the chapters, you'll find out how to apply your skillset to solve practical problems.By the end of this AWS book, you’ll have mastered the fundamentals of document processing with machine learning through practical implementation.
Intelligent IoT Projects in 7 Days. Build exciting projects using smart devices
Agus Kurniawan
Intelligent IoT Projects in 7 days is about creating smart IoT projects in just 7 days. This book will help you to overcome the challenge of analyzing data from physical devices.This book aims to help you put together some of the most exciting IoT projects in a short span of time. You'll be able to use these in achieving or automating everyday tasks—one project per day.We will start with a simple smart gardening system and move on to a smart parking system, and then we will make our own vending machine, a smart digital advertising dashboard, a smart speaker machine, an autonomous fire fighter robot, and finally look at a multi-robot cooperation using swarm intelligence.
Intelligent IoT Projects in 7 Days. Build exciting projects using smart devices
Agus Kurniawan
Intelligent IoT Projects in 7 days is about creating smart IoT projects in just 7 days. This book will help you to overcome the challenge of analyzing data from physical devices.This book aims to help you put together some of the most exciting IoT projects in a short span of time. You'll be able to use these in achieving or automating everyday tasks—one project per day.We will start with a simple smart gardening system and move on to a smart parking system, and then we will make our own vending machine, a smart digital advertising dashboard, a smart speaker machine, an autonomous fire fighter robot, and finally look at a multi-robot cooperation using swarm intelligence.
Intelligent IoT Projects in 7 Days. Build exciting projects using smart devices
Agus Kurniawan
Intelligent IoT Projects in 7 days is about creating smart IoT projects in just 7 days. This book will help you to overcome the challenge of analyzing data from physical devices.This book aims to help you put together some of the most exciting IoT projects in a short span of time. You'll be able to use these in achieving or automating everyday tasks—one project per day.We will start with a simple smart gardening system and move on to a smart parking system, and then we will make our own vending machine, a smart digital advertising dashboard, a smart speaker machine, an autonomous fire fighter robot, and finally look at a multi-robot cooperation using swarm intelligence.
Jeff Tang
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
Jeff Tang
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
Jeff Tang
As a developer, you always need to keep an eye out and be ready for what will be trending soon, while also focusing on what's trending currently. So, what's better than learning about the integration of the best of both worlds, the present and the future? Artificial Intelligence (AI) is widely regarded as the next big thing after mobile, and Google's TensorFlow is the leading open source machine learning framework, the hottest branch of AI. This book covers more than 10 complete iOS, Android, and Raspberry Pi apps powered by TensorFlow and built from scratch, running all kinds of cool TensorFlow models offline on-device: from computer vision, speech and language processing to generative adversarial networks and AlphaZero-like deep reinforcement learning. You’ll learn how to use or retrain existing TensorFlow models, build your own models, and develop intelligent mobile apps running those TensorFlow models. You'll learn how to quickly build such apps with step-by-step tutorials and how to avoid many pitfalls in the process with lots of hard-earned troubleshooting tips.
Santanu Pattanayak, Manohar Swamynathan
This book will be a perfect companion if you want to build insightful projects from leading AI domains using Python.The book covers detailed implementation of projects from all the core disciplines of AI. We start by covering the basics of how to create smart systems using machine learning and deep learning techniques. You will assimilate various neural network architectures such as CNN, RNN, LSTM, to solve critical new world challenges. You will learn to train a model to detect diabetic retinopathy conditions in the human eye and create an intelligent system for performing a video-to-text translation. You will use the transfer learning technique in the healthcare domain and implement style transfer using GANs. Later you will learn to build AI-based recommendation systems, a mobile app for sentiment analysis and a powerful chatbot for carrying customer services. You will implement AI techniques in the cybersecurity domain to generate Captchas. Later you will train and build autonomous vehicles to self-drive using reinforcement learning. You will be using libraries from the Python ecosystem such as TensorFlow, Keras and more to bring the core aspects of machine learning, deep learning, and AI.By the end of this book, you will be skilled to build your own smart models for tackling any kind of AI problems without any hassle.